Drone-Based Ground-Penetrating Radar with Manual Transects for Improved Field Surveys of Buried Ice
The steep and unstable terrain found on debris-covered glaciers, rock glaciers, talus slopes, moraines and other proglacial features often make terrestrial ground-penetrating radar (GPR) surveys unsafe or cost-prohibitive. To address these challenges, this research introduces a novel approach for st...
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Language: | English |
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2024
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Online Access: | https://doi.org/10.3390/rs16132461 https://doaj.org/article/096ba9fea37f45f88259288fd02f4c87 |
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ftdoajarticles:oai:doaj.org/article:096ba9fea37f45f88259288fd02f4c87 2024-09-15T18:08:01+00:00 Drone-Based Ground-Penetrating Radar with Manual Transects for Improved Field Surveys of Buried Ice Adam R. Tjoelker Michel Baraër Eole Valence Bastien Charonnat Janie Masse-Dufresne Bryan G. Mark Jeffrey M. McKenzie 2024-07-01T00:00:00Z https://doi.org/10.3390/rs16132461 https://doaj.org/article/096ba9fea37f45f88259288fd02f4c87 EN eng MDPI AG https://www.mdpi.com/2072-4292/16/13/2461 https://doaj.org/toc/2072-4292 doi:10.3390/rs16132461 2072-4292 https://doaj.org/article/096ba9fea37f45f88259288fd02f4c87 Remote Sensing, Vol 16, Iss 13, p 2461 (2024) drones ground-penetrating radar buried ice debris-covered glacier Science Q article 2024 ftdoajarticles https://doi.org/10.3390/rs16132461 2024-08-05T17:48:57Z The steep and unstable terrain found on debris-covered glaciers, rock glaciers, talus slopes, moraines and other proglacial features often make terrestrial ground-penetrating radar (GPR) surveys unsafe or cost-prohibitive. To address these challenges, this research introduces a novel approach for studying buried ice using multi-low-frequency drone-based GPR. Monostatic antennas of 50, 100, and 200 MHz were flown along a transect spanning a debris-covered glacier and an ice–debris complex at Shár Shaw Tagà (Grizzly Creek) in southwest Yukon, Canada. The drone-based results were compared to manual GPR at two locations along the transect. The two manual segments were conducted using the same radar system in a bi-static mode and included common mid-point (CMP) surveys. Overall, the drone-based radar successfully identified buried ice and enabled estimation of ice body thickness. Notably, CMP results confirmed layer characteristics and enabled depths to be measured across the entire drone-based transect. Discrimination of detail across a range of depths was made possible by comparing the three low frequencies, highlighting the possibility of using this method for future investigations of debris thickness in addition to quantifying buried ice. This study confirms the effectiveness of drone-based GPR combined with manual CMP for surveying ice beneath previously inaccessible terrain. Article in Journal/Newspaper glacier* Yukon Directory of Open Access Journals: DOAJ Articles Remote Sensing 16 13 2461 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
drones ground-penetrating radar buried ice debris-covered glacier Science Q |
spellingShingle |
drones ground-penetrating radar buried ice debris-covered glacier Science Q Adam R. Tjoelker Michel Baraër Eole Valence Bastien Charonnat Janie Masse-Dufresne Bryan G. Mark Jeffrey M. McKenzie Drone-Based Ground-Penetrating Radar with Manual Transects for Improved Field Surveys of Buried Ice |
topic_facet |
drones ground-penetrating radar buried ice debris-covered glacier Science Q |
description |
The steep and unstable terrain found on debris-covered glaciers, rock glaciers, talus slopes, moraines and other proglacial features often make terrestrial ground-penetrating radar (GPR) surveys unsafe or cost-prohibitive. To address these challenges, this research introduces a novel approach for studying buried ice using multi-low-frequency drone-based GPR. Monostatic antennas of 50, 100, and 200 MHz were flown along a transect spanning a debris-covered glacier and an ice–debris complex at Shár Shaw Tagà (Grizzly Creek) in southwest Yukon, Canada. The drone-based results were compared to manual GPR at two locations along the transect. The two manual segments were conducted using the same radar system in a bi-static mode and included common mid-point (CMP) surveys. Overall, the drone-based radar successfully identified buried ice and enabled estimation of ice body thickness. Notably, CMP results confirmed layer characteristics and enabled depths to be measured across the entire drone-based transect. Discrimination of detail across a range of depths was made possible by comparing the three low frequencies, highlighting the possibility of using this method for future investigations of debris thickness in addition to quantifying buried ice. This study confirms the effectiveness of drone-based GPR combined with manual CMP for surveying ice beneath previously inaccessible terrain. |
format |
Article in Journal/Newspaper |
author |
Adam R. Tjoelker Michel Baraër Eole Valence Bastien Charonnat Janie Masse-Dufresne Bryan G. Mark Jeffrey M. McKenzie |
author_facet |
Adam R. Tjoelker Michel Baraër Eole Valence Bastien Charonnat Janie Masse-Dufresne Bryan G. Mark Jeffrey M. McKenzie |
author_sort |
Adam R. Tjoelker |
title |
Drone-Based Ground-Penetrating Radar with Manual Transects for Improved Field Surveys of Buried Ice |
title_short |
Drone-Based Ground-Penetrating Radar with Manual Transects for Improved Field Surveys of Buried Ice |
title_full |
Drone-Based Ground-Penetrating Radar with Manual Transects for Improved Field Surveys of Buried Ice |
title_fullStr |
Drone-Based Ground-Penetrating Radar with Manual Transects for Improved Field Surveys of Buried Ice |
title_full_unstemmed |
Drone-Based Ground-Penetrating Radar with Manual Transects for Improved Field Surveys of Buried Ice |
title_sort |
drone-based ground-penetrating radar with manual transects for improved field surveys of buried ice |
publisher |
MDPI AG |
publishDate |
2024 |
url |
https://doi.org/10.3390/rs16132461 https://doaj.org/article/096ba9fea37f45f88259288fd02f4c87 |
genre |
glacier* Yukon |
genre_facet |
glacier* Yukon |
op_source |
Remote Sensing, Vol 16, Iss 13, p 2461 (2024) |
op_relation |
https://www.mdpi.com/2072-4292/16/13/2461 https://doaj.org/toc/2072-4292 doi:10.3390/rs16132461 2072-4292 https://doaj.org/article/096ba9fea37f45f88259288fd02f4c87 |
op_doi |
https://doi.org/10.3390/rs16132461 |
container_title |
Remote Sensing |
container_volume |
16 |
container_issue |
13 |
container_start_page |
2461 |
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1810445364506918912 |